mcp-server-chart vs datagouv-mcp
Side-by-side comparison to help you pick between these two MCP servers.
mcp-server-chart by antvis | datagouv-mcp by datagouv | |
|---|---|---|
| Stars | ★ 4,068 | ★ 1,460 |
| 30d uses | 10,239 | — |
| Score | 84 | 55 |
| Official | — | — |
| Categories | AI / LLM ToolsDeveloper ToolsProductivity | AI / LLM ToolsDatabaseSearch |
| Language | TypeScript | Python |
| Last commit | this month | this month |
mcp-server-chart · Summary
A TypeScript MCP server for generating 26+ visualization charts using AntV, supporting multiple chart types and deployment options.
datagouv-mcp · Summary
Official MCP server for data.gouv.fr that enables AI chatbots to search and analyze French open data.
mcp-server-chart · Use cases
- Data analysts creating visual reports from datasets
- AI assistants generating custom charts based on user requests
- Web applications embedding visualization capabilities via HTTP API
datagouv-mcp · Use cases
- Ask about real estate prices in specific French regions
- Retrieve latest demographic data for French cities
- Search and analyze public datasets through conversational AI
mcp-server-chart · Install
Installation
Install globally:
npm install -g @antv/mcp-server-chartFor Desktop Apps (e.g., Claude Desktop, VSCode):
{
"mcpServers": {
"mcp-server-chart": {
"command": "npx",
"args": ["-y", "@antv/mcp-server-chart"]
}
}
}For Windows:
{
"mcpServers": {
"mcp-server-chart": {
"command": "cmd",
"args": ["/c", "npx", "-y", "@antv/mcp-server-chart"]
}
}
}datagouv-mcp · Install
Installation
Using Public Hosted Server
The recommended approach is to use the public instance at https://mcp.data.gouv.fr/mcp.
Claude Desktop Configuration
Add to your Claude Desktop configuration file:
{
"mcpServers": {
"datagouv": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.data.gouv.fr/mcp"
]
}
}
}Local Installation with Docker
git clone git@github.com/datagouv/datagouv-mcp.git
cd datagouv-mcp
docker compose up -dManual Installation
# Install dependencies
uv sync
# Copy environment file
cp .env.example .env
# Start the server
uv run main.py